PLC Based Real Time Process Control Using SCADA and MATLAB

Bagal, K.N.; Kadu, C.B.; Parvat, B.J.; Vikhe, P. S.

doi:10.1109/iccubea.2018.8697491

Cited by 17 publications

(5 citation statements)

References 4 publications

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“…Due to their faster operation speeds, vectors and matrices were used in the translated code, which displayed reduced execution time and reduced complexity than its FORTRAN counterpart. Bagal et al [31] implemented a real-time control process by establishing an interface between MATLAB and SCADA. To achieve to and fro data transfer, KEPServerEX was used, which works as an Open Platform Communications Data Access (OPCDA) server working on a server-client architecture.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Ahmed

Javed²,

Uppal

et al. 2023

Mathematics

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The Cavity Simulation Model (CAVSIM) is a 3D, parameterisable simulator of the Underground Coal Gasification Process (UCG) that serves as a benchmark for UCG prediction. Despite yielding accurate outputs, CAVSIM has some limitations, which chiefly include inadequate graphical capabilities to visualise cavity geometry and gas production, time-ineffectiveness in terms of parametrisation, i.e., it involves editing, compiling multiple files and checking for errors, and lack of tools to synthesise a controller. Therefore, to compensate for these shortcomings, the services of third-party software, such as MATLAB, must be procured. CAVSIM was integrated with MATLAB to utilise its functionalities and toolboxes such as System Identification, Neural Network, and Optimization Toolbox etc. The integration was accomplished by designing C-mex files, and furthermore, the simulation results in both environments exhibit the same behaviour, demonstrating successful integration. Consequently, CAVSIM has also acquired a controllable structure, wherein parametrisation is now a single-click process; this is demonstrated by a case study outlining the implementation of Model Predictive Control (MPC) on a UCG plant. Moreover, the performance metrics, i.e., Mean Average Error (MAE) and Root Mean Square Error (RMSE) of 0.13, 0.23 for syngas heating value, and 0.012, 0.02 for flowrate quantitatively establishes the efficacy of CAVLAB in designing MPC for the UCG system. The novelty of this work lies in making the software package open-source with the aim of streamlining the research of multiple aspects of the UCG process.

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Section: Literature Reviewmentioning

confidence: 99%

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Ahmed

Javed²,

Uppal

et al. 2023

Mathematics

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“…However, it can be obtained even for inertia, parameters and system loads. Thus, to achieve this adaptive, accurate, simple to implement and robust strategy for speed control must be used [12]. To improve this initial response of PID control action, PID is tuned with Neural Network.…”

Section: Ann Based Pid Controllermentioning

confidence: 99%

“…This aspect may fail for the motors having higher rating. Pulse width Modulation (PWM) with microcontroller is used to control the higher rating motors that provide control and starting functions [12].…”

Section: Introductionmentioning

confidence: 99%

Speed Control of BLDC Motor using Open Loop, PID Controller and Neural Network

Vikhe,

Shukla,

Kadu

et al. 2019

IJEAT

Self Cite

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is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique.

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“…Several studies have successfully integrated the PLC with MATLAB using the OPC server. A study by Bagal et al [15] shows a method for implementing a real-time DC motor speed control PLC based on SCADA and MATLAB. With this method, the authors integrated a Mitsubishi FX2N 32MR PLC with OPC DA server KEPServerEx.V4 for data acquisition between the DC motor, SCADA application (Citect SCADA 7.2), and MATLAB.…”

Section: Introductionmentioning

confidence: 99%

PLC-based PID controller for real-time pH neutralization process using Palm Oil Mill Effluent

Zainal

Wahab²,

Yusof

2023

IIUMEJ

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The pH neutralization process is a highly non-linear process and time delay system that is difficult to control and to accurately model mathematically. Therefore, the empirical method, which needs reliable experimental data to represent the process dynamics, is often used. In this paper, the performance of the PLC-based PID controller was studied using a different adjustment of the acid dosing pump stroke rate in the pH neutralization process. The pH neutralization process is a single-input, single-output system where the manipulated variable is the alkali dosing pump stroke rate, the controlled variable is pH, and the acid dosing pump stroke rate is set as a constant. The acid dosing pump stroke rate was adjusted to 10%, 15% and 25%. The results showed that the best performance of the PID controller was based on setpoint tracking when the setting of the acid dosing pump stroke rate was set at 10%, which could be used as experimental data in the empirical method. In addition, the real-time control system was integrated between PLC and MATLAB using National Instruments OPC server to access the experimental data in real-time, conduct simulation, and to develop the advanced control in the future. ABSTRAK: Peneutralan pH adalah proses tidak linear yang sukar dikawal dan sukar mendapat model matematik yang tepat. Oleh itu, kaedah empirikal memerlukan data eksperimen masa nyata bagi mewakili proses dinamik untuk mengatasi masalah ini. Kajian ini adalah berkaitan kajian prestasi pengawal PLC-berdasarkan PID menggunakan pelbagai perubahan kadar strok pam dos asid dalam proses peneutralan pH. Proses peneutralan pH ini adalah sistem satu input/output, di mana pemboleh ubah yang dimanipulasi adalah kadar peratusan strok pam dos alkali menggunakan pam peristaltik, pemboleh ubah kawalan ialah pH dan pemboleh ubah malar ialah peratusan dos asid.Kadar strok pam dos asid dilaraskan pada 10%, 15% dan 25%. Dapatan kajian menunjukkan prestasi terbaik kawalan PID adalah berdasarkan pengesan titik-set apabila kadar strok pam dos asid dilaraskan pada 10%, di mana ianya berkesan apabila digunakan sebagai data eksperimen dalam kaedah empirikal. Tambahan, kajian ini telah berjaya membentuk sistem kawalan masa nyata bagi proses penutralan pH menggunakan PLC dan MATLAB melalui pelayan National Instruments OPC bagi membolehkan pertukaran data eksperimen secara masa nyata yang cekap, menjalankan simulasi dan pembangunan kawalan termaju pada masa hadapan.

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PLC Based Real Time Process Control Using SCADA and MATLAB

Cited by 17 publications

References 4 publications

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Speed Control of BLDC Motor using Open Loop, PID Controller and Neural Network

PLC-based PID controller for real-time pH neutralization process using Palm Oil Mill Effluent

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